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Oct 31, 2026
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CMSC 405 - Artificial Intelligence 3 Credit(s)
In this course, students will learn the fundamental concepts of Artificial Intelligence (AI) and apply them to the design and implementation of intelligent agents that solve real-world AI problems, including problems in path finding, games, and logic. Students will learn the basic techniques for building intelligent computer systems. Topics include the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing and adversarial search and logical agents.
Prerequisite(s): CMSC 285 .
Course Frequency: ALT F (even years)
Grading Method: Student option.
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